One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions by Shaobin Cai, Yuchen Wang, Wanchen Cai, Yuchang Mo, Liansuo Wei

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On the Integration of Social Context for Enhanced Fake News Detection Using Multimodal Fusion Attention Mechanism by Hachemi Nabil Dellys, Halima Mokeddem, Layth Sliman

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Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types by Giulia Moreni, Licheng Zou, Cyriel M. A. Pennartz, Cyriel M. A. Pennartz, Jorge F. Mejias, Jorge F. Mejias

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Introduction to Special Thematic Issue, part 2 "Microsaccades: Empirical Research and Methodological Advances“ by Rudolf Groner

“…The authors argue that a single feedforward pass through the visual hierarchy of processing a stimulus is needed to effectuate prolonged continuous visual search and provide evidence that microsaccades can serve perceptual functions like correcting saccades or effectuating task-oriented goals during continuous visual search. …”
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Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

“…Predictions for the different paths of the triplet are independently executed using feedforward neural networks. Each feedforward neural network consists of two perceptrons with ReLU activation functions and a linear projection layer, facilitating both category classification and bounding box regression.Results and DiscussionsTo evaluate the performance of RRM in the scene graph generation task, we employed several commonly used metrics in this research domain: Recall@K (R@K) and Mean Recall@K (mR@K). …”
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Efficient fault diagnosis in rolling bearings lightweight hybrid model by Peng Yang, Bozheng Zhang, Jianda Zhao

“…Through dimensionality reduction and visualization analysis using the t-SNE method, the effectiveness of different network structures within the proposed TSL-Transformer model is elucidated.…”
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Turbofan engine health status prediction with artificial neural network by Slawomir Szrama, Tomasz Lodygowski

“…The case study is based on the artificial neural network which was two-layer feedforward network with sigmoid hidden neurons and linear output neurons. …”
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Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology by Andrew Broad, Alexander Wright, Clare McGenity, Darren Treanor, Marc de Kamps

“…Abstract Human visual attention allows prior knowledge or expectations to influence visual processing, allocating limited computational resources to only that part of the image that are likely to behaviourally important. …”
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Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries by Jutarut Chaoraingern, Arjin Numsomran

“…This study proposes an end-to-end TinyML-based framework that integrates embedded sensor data fusion with an optimized feedforward neural network (FFNN) model for efficient RUL estimation under strict hardware limitations. …”
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Intraoperative computed tomography-guided robotic needle biopsy system with real-time imaging ability and remote-center-of-motion control by Zheng-Yang Lai, Chun-Ting Kuo, Shun-Mao Yang, Ming-Chih Ho, Yung-Yaw Chen, Tsu-Chin Tsao, Jia-Yush Yen

“…This is coupled with a novel and robust RCM control strategy, meticulously engineered based on screw axis theory and velocity twist, and further optimized with interpolation and feedforward control laws. This framework enables precise, surgeon-guided adjustments of the guiding catheter's posture throughout the procedure. …”
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Enhancing anticipation control of the posture system in the elderly wearing stroboscopic glasses by Yi-Ching Chen, Yi-Ying Tsai, Yen-Ting Lin, Ing-Shiou Hwang

“…Conclusions SV transitions postural sway towards an open-loop process and influences cortico-posture interactions in older adults, emphasizing a neuromotor adaptation to the uncertainty in feedforward predictions when utilizing intermittent visual feedback.…”
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Dual parallel stream-specific and generalized effects of corticogeniculate feedback on LGN neurons in primate and carnivore by Sabrina Mai, Allison J. Murphy, J. Michael Hasse, Farran Briggs

“…Abstract Sensory circuits are organized in parallel, e.g. parallel streams relay feedforward visual information from retina to cortex. …”
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Network adaptation improves temporal representation of naturalistic stimuli in Drosophila eye: II mechanisms. by Anton Nikolaev, Lei Zheng, Trevor J Wardill, Cahir J O'Kane, Gonzalo G de Polavieja, Mikko Juusola

“…Retinal networks must adapt constantly to best present the ever changing visual world to the brain. Here we test the hypothesis that adaptation is a result of different mechanisms at several synaptic connections within the network. …”
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MSFA-BEVNet: Optimization of BEV Scene Recognition Driven by Multiscale Feature Fusion and Alignment by Xiubin Cao, Yifan Li, Hongwei Li

“…Specifically, we employ a DCN-based block for visual feature extraction, comprising layer normalization (LN), feedforward networks (FFNs), and the Gaussian Error Linear Unit (GELU) activation function, aligned with the Vision Transformer (ViT) paradigm to improve feature modeling. …”
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Metacontrast masking of symmetric stimuli. by Giulio Contemori, Marianna Musa, Carolina Maria Oletto, Stefano Vicentin, Luca Battaglini, Giorgia Cona, Marco Bertamini

“…Together, these results support both dual-channel and recurrent models of visual masking. Type B suppression reflects interactions between fast feedforward and slower feedback signals, while the presence or absence of early facilitation serves as an index of perceptual organization. …”
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Two-stage Mamba-based diffusion model for image restoration by Lei Liu, Luan Ma, Shuai Wang, Jun Wang, Silas N. Melo

“…Diff-Mamba integrates the linear complexity state space model (SSM, also known as Mamba) into image restoration, expanding its applicability to visual data generation. Diff-Mamba mainly consists of two parts: the diffusion state space model (DSSM) and the diffusion feedforward neural network (DFNN). …”
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Gamma band oscillations in parietooccipital areas during performance of a sensorimotor integration task: a qEEG coherence study by S Teixeira, B Velasques, S Machado, F Paes, M Cunha, H Budde, R Anghinah, L F H Basile, M Cagy, R Piedade, P Ribeiro

“…We conclude that to execute tasks involving anticipatory movements (feedforward mechanisms), like our own task, probably, there is no need of a strong participation of visual areas in the process of information organization to manipulate objects and to process visuospatial information regarding the contact hand-object.…”
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The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction by M. Vlachos, D. Skarlatos, S. Demesticha

“…This study aims to evaluate the effectiveness of a Feedforward Neural Network-based colour correction method designed to enhance underwater image quality, thereby improving feature matching and subsequent 3D reconstruction processes. …”
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Activity-dependent synthesis of Emerin gates neuronal plasticity by regulating proteostasis by Yi Xie, Ruoxi Wang, Daniel B. McClatchy, Yuanhui Ma, Jolene Diedrich, Manuel Sanchez-Alavez, Michael Petrascheck, John R. Yates, III, Hollis T. Cline

“…Our findings support a proteostatic model in which visual experience-induced Emerin provides a feedforward block on further protein synthesis, refining temporal control of activity-induced plasticity proteins and optimizing visual system function.…”
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Shared and Unique Neural Codes for Biological Motion Perception in Humans and Macaque Monkeys by Yuhui Cheng, Yumeng Xin, Xiqian Lu, Tianshu Yang, Xiaohan Ma, Xiangyong Yuan, Ning Liu, Yi Jiang

“…This selectivity is evidenced by an increased feedforward connection from hMT+ to hpSTS during the processing of human BM stimuli. …”
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